Top Software Engineer Jobs in Spokane, WA

Lead delivery for the Batch Infrastructure team: design, build, and operate reliable, scalable compute platforms for scheduled and on-demand batch workloads. Collaborate with product/design/analytics, define technical plans, ensure availability (monitoring/on-call), set code and design standards, and mentor engineers to improve delivery and quality.

Design, build, and optimize Java-based data pipelines and integrations from SQL/NoSQL and cloud sources. Create BI dashboards and automated reports, design storage for structured/unstructured data, document processes, and follow production deployment best practices to deliver actionable analytics.

Design and build cloud-native ETL/ELT pipelines and microservices, modernize on-prem systems to distributed services, implement authentication/authorization and data governance, ensure data quality and observability, drive architecture and CI/CD best practices, mentor engineers, and collaborate with stakeholders across a US Navy-focused defense program.

Design, implement, and operate large-scale, low-latency cloud data processing systems on OCI. Contribute across the software lifecycle, optimize data pipelines, ensure high availability and disaster recovery, and collaborate on design, deployment, monitoring, and production support.

Join a remote engineering team to write, test, and maintain code under senior guidance; participate in code reviews, standups, and sprint planning; debug and resolve application issues; and continuously learn new technologies and best practices.

Leads the technical evolution of Kilo Code, a high-scale VS Code AI coding extension. Responsibilities include setting architecture and performance strategy, building advanced AI-assisted coding features, driving cross-team technical roadmaps, mentoring engineers, owning production delivery, optimizing context and token usage, reducing technical debt, and partnering with Product and Design. The role requires hands-on software development, technical leadership, developer-tools expertise, TypeScript and Node.js proficiency, large-scale performance optimization, AI workflow experience, and Eastern Time Zone availability.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

Design, implement, and operate features for Temporal’s open source distributed systems server. Solve challenges involving scheduling, task processing, workflow execution, persistence, quotas, visibility, and performance. Improve reliability through testing, observability, dashboards, alerts, runbooks, and documentation. Collaborate across engineering and product teams, participate in design reviews, contribute to developer experience, and mentor junior engineers.

Lead initiatives that enable production-like system testing across engineering. Build realistic test environments, workload generation and replay, fault-injection tooling, shared testing frameworks, and continuous or release validation. Partner with infrastructure, reliability, release, and product teams to convert incident learnings into durable test coverage. Mentor engineers, influence testing strategy, and improve observability, debuggability, and operational readiness.

Design, build, test, document, and operate core backend features for highly scalable, multi-tenant distributed services. The role focuses on concurrency, reliability, latency, scale, multi-region failover, availability, production observability, alerting, dashboards, and runbooks. Staff Engineers also contribute to enterprise on-premise and cloud offerings, improve team velocity, and provide technical leadership across backend systems.

Build and maintain high-performance, reliable backend systems for Yahoo Mail AntiSpam and Delivery. Design and develop complex server applications on Unix, leverage cloud platforms (GCP/AWS), containerization (Docker/Kubernetes), and ML/AI models to detect and deliver messages. Troubleshoot, optimize performance, and collaborate cross-functionally to ensure scalability and uptime.

Design, evolve, and operate core data models and APIs for complex communications networks. Build durable abstractions for heterogeneous physical and logical networks, while maintaining interface quality, compatibility, consistency, and performance. Collaborate with experienced engineers to manage priorities, timelines, and deliverables across production systems. The role requires strong software engineering fundamentals and proficiency in Golang, C/C++, Rust, or Java.

Build and operate managed compute primitives for Temporal Cloud, including autoscaling systems, cloud integrations, control-plane and data-plane services, and multi-tenant execution infrastructure. Own architecture, APIs, reliability, observability, rollout strategies, incident response, and long-term maintenance. Lead technical design, cross-team platform initiatives, code reviews, and mentorship while ensuring secure, performant, and fault-tolerant customer-facing services.

Design, build, and operate highly scalable distributed storage systems for Temporal Cloud. Responsibilities include developing persistence APIs, replication paths, caches, tiered storage, and observability; improving reliability and performance through SLO ownership, chaos testing, profiling, and incident reviews; and providing technical leadership through roadmap planning, RFCs, mentoring, and cross-team delivery.

Lead the full software development lifecycle for internal and customer-facing observability systems. Design, build, deploy, support, and optimize scalable distributed systems and high-throughput data pipelines. Own reliability, performance, testing, documentation, and production readiness; participate in on-call support. Mentor engineers, lead design reviews, investigate incidents, and collaborate with stakeholders to develop effective tooling across the Temporal ecosystem.

Design, build, deploy, and support scalable distributed observability systems for internal developers and customers. Lead the software development lifecycle, develop and review designs, ensure testing and production readiness, investigate reliability and performance issues, participate in on-call support, and collaborate across teams to improve Temporal’s infrastructure and platform capabilities.

Lead the technical vision, architecture, and implementation of large-scale cloud infrastructure powering Temporal Cloud. Drive multi-cloud compute, traffic, security, automation, scalability, performance, and reliability initiatives. Provide hands-on coding, technical mentorship, design review leadership, roadmap development, cross-team alignment, executive advising, and customer engagement while elevating engineering and operational excellence.

Design, build, and operate highly scalable, multi-tenant cloud storage systems for workflow data. Responsibilities include developing persistence APIs, storage abstractions, replication paths, caches, tiered storage, and observability; improving reliability and performance through SLOs, chaos testing, profiling, and incident reviews; leading technical designs, mentoring engineers, and collaborating across teams.

Build and operate Temporal Cloud’s managed compute platform, including autoscaling systems, multi-tenant execution services, cloud integrations, control and data plane boundaries, security controls, observability, and reliability practices. Lead API design, rollout, incident response, technical reviews, cross-team collaboration, and mentorship for production platform capabilities.

Lead the architecture and delivery of scalable backend systems supporting customer onboarding, account lifecycle management, billing, metering, marketplace integrations, revenue data synchronization, and customer-facing usage reporting. Build reliable distributed systems, data pipelines, and integrations while ensuring correctness, observability, compliance, and operational readiness. Partner with Finance, RevOps, Sales, Support, Product, and Engineering, provide technical leadership, mentor engineers, and improve customer and developer experiences.

Build and maintain Doowii's core product: front-end interfaces and UX for data querying, backend APIs and cloud infrastructure, real-time data interaction and optimized data models, ingestion pipelines (NiFi->Kafka->Iceberg->BigQuery), and model evaluation/LLM-driven features to deliver accurate, performant conversational analytics for education.

Design and deliver scalable control-plane and management services for Azure Storage at hyperscale. Lead architecture, reliability, and performance work for storage platforms that support AI workloads, adopt AI-assisted engineering practices, and own system health, incident response, and long-term technical roadmaps.

Design, build, ship, and own high-scale, user-facing product features across frontend, backend, and data systems. Define problems, scope and prioritize work, collaborate with Product, monitor production usage, debug incidents, improve reliability, review code, and mentor engineers. The role requires strong backend expertise alongside React proficiency and ownership from product discovery through long-term maintenance.

Design and deliver scalable, secure, and maintainable software systems. Contribute to architecture, build CI/CD pipelines, design distributed systems and APIs, mentor engineers, collaborate with product and design, and improve observability, performance, and operational reliability across teams.

Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.